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Thesis: Introduction rewrite (WIP)
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\begin{document}
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\chapter{Cosmic Rays and Extensive Air Showers}
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\chapter{An Introduction to Cosmic Rays and Extensive Air Showers}
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\label{sec:introduction}
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%<<<
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% Intro Cosmic Ray
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In the beginning of the $\mathrm{20^{th}}$~century, various types of radiation were discovered.
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With the balloonflight of Victor Hess in 1912, one type was determined to come from beyond the atmosphere and therefore labelled ``Cosmic Rays''.
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With many discoveries following, the field of (astro-)particle physics evolved.
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\\
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% Current state, (nudge to radio)
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Large collaborations are now detecting cosmic rays with a variety of methods over a large range of energy (see Figure~\ref{fig:cr_flux}).
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\\
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% Radio
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In the last two decades, the detection using radio antennas has received significant attention \Todo{ref}, such that collaborations such as the~\gls{GRAND}\Todo{more?} are building observatoria that fully rely on radio measurements.
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%
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For such radio arrays, the analyses require an accurate timing of signals within the array.
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Generally, \glspl{GNSS} are used to synchronise the detectors.
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However, advanced analyses require an even higher accuracy than currently achieved with these systems.
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\\
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This thesis investigates a relatively straightforward method (and its limits) to obtain this required timing accuracy for radio arrays.
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\\
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\Todo{remove - repeated at end of chapter}
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% >>>
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%\section{Cosmic Particles}%<<<<<<
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%<<<
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\phantomsection
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\label{sec:crs}
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%Particles from outer space,
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%Particle type,
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%Energy,
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%magnetic fields -- origin,
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%
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%\hrule
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% Energy and flux
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The Earth is bombarded with a variety of extra-terrestrial particles, with the energy of these particles extending over many orders of magnitude as depicted in Figure~\ref{fig:cr_flux}.
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The flux of these particles decreases exponentially with increasing energy.
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For \gls{UHE}, above $10^{6}\GeV$\Todo{limit}, it approaches one particle per~square~meter per~year, whereas for even higher energies the flux decreases to a particle per~square~kilometer per~year.
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\\
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% Cosmic Particles = CR + Photon + Neutrino
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The Earth is bombarded with a variety of extra terrestrial particles.
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These can be classified into three main types: charged nuclei (typically protons $Z=1$ up to iron $Z=26$), photons and neutrinos, each with different propagation effects.
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\Todo{Energy lowerlimit or electrons}
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\\
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The charged nuclei are the bulk of the measured particles.\Todo{define CR}
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The various magnetic fields that they travel through deflect them due to their charge.
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Because of this, they do not point back to their sources.
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\\
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Photons do not suffer from being charged, and thus have the potential to reveal their sources.
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However, they can be absorbed and created by multiple mechanisms.
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\\
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Finally, neutrino's interact weakly, thus pointing back to their sources as well.
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Unfortunately, this weak interaction also troubles the detection of the neutrino's.\Todo{rephrase}
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\\
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\Todo{
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$\gamma + \nu$ production by CR,
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source / targets
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}
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\begin{figure}%<<< cr_flux
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\begin{figure}%<<< fig:cr_flux
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\centering
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\includegraphics[width=\textwidth]{astroparticle/The_CR_spectrum_2023.pdf}
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\includegraphics[width=0.9\textwidth]{astroparticle/The_CR_spectrum_2023.pdf}
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\caption{
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From \protect \cite{The_CR_spectrum}.
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The diffuse cosmic ray spectrum (upper line) as measured by various experiments.
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The intensity and fluxes can generally be described by rapidly decreasing power laws.
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The grey shading indicates the order of magnitude of the particle flux, such that from the ankle onwards ($E>10^9\GeV$) the flux reaches $1$~particle per~square~kilometer per~year.
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\protect \Todo{Knee - (inter)galactic}
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}
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\label{fig:cr_flux}
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\end{figure}%>>>
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% Energy
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Cosmic rays span a large range of energy and flux as illustrated in Figure~\ref{fig:cr_flux}.
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At lower energies, the flux is high enough for direct detection.
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At energies above $10^{6}\GeV$, however, the flux decrease requires indirect detection to obtain decent statistics.
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% CR: magnetic field
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At \gls{UHE}, the incoming particles are primarily cosmic rays, atomic nuclei typically ranging from protons ($Z=1$) up to iron ($Z=26$).
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Because these are charged, the various magnetic fields they passthrough will deflect and randomise their trajectories.
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Ofcourse, this effect is dependent on the strength and size of the magnetic field and the speed of the particle.
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It is therefore only at the very highest energies that the direction of an initial particle might be used to constrain the direction of its origin.
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\\
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% Acceleration
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The acceleration of high energy cosmic rays is thought to occur in highly energetic regions.
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Being charged, the nuclei can be accelerated in strong magnetic fields with the extent of the magnetic fields limiting the maximum obtainable energy for a cosmic ray.
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% CR: galaxy / extra-galactic
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The same argument (but in reverse) can be used to distinguish galactic and extra-galactic origins.
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The acceleration of these charged particles equally\Todo{word} requires strong and/or sizable magnetic fields.
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Size constraints on our galaxy lead to a maximum energy for which a cosmic ray can still be contained in the galaxy.
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This mechanism is expected to explain the steeper slope in Figure~\ref{fig:cr_flux} from the ``knee'' ($10^{6}\GeV$) onwards.
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\\
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%\\
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%Likewise, thi
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%
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%Being charged, the nuclei will gyrate in magnetic fields.
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%With an approximate size of $ $\Todo{size} and an average magnetic field of $5\mathrm{\;\mu G}$\Todo{}, the Milky Way can only contain particles up to an energy of about $10^{17}\eV$\Todo{fill}.
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%Still, particles with higher energies have been observed (see Figure~\ref{fig:}).
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%These higher energy particles must thus come from beyond our galaxy.
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%\Todo{rewrite paragraph}
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%\\
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%Likewise, with an rapidly increasing flux for lower energies, one component can be assorted\Todo{rephrase} as coming from within the galaxy.
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%\\
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%\Todo{remove/rewrite paragraph}
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% Photons and Neutrinos
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Other particles at these energies include photons and neutrinos, which are not charged.
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Therefore, these particle types do not suffer from magnetic deflections and have the potential to reveal their source regions.
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Unfortunately, aside from both being much less frequent, photons can be absorbed and created by multiple mechanism, and neutrinos are notoriously hard to detect due to their weak interaction.
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%\Todo{
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% $\gamma + \nu$ production by CR,
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% source / targets
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%}
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\\
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%>>>
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%\subsection{Air Showers}%<<<
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\phantomsection
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\label{sec:airshowers}
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%Particle cascades,
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%Xmax?,
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%Radio emission,
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%
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%\hrule
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When a particle with an energy above $1\;\TeV$ comes into contact with the atmosphere, secondary particles are generated, forming an air shower.
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When a cosmic ray with an energy above $10^{3}\GeV$ comes into contact with the atmosphere, secondary particles are generated, forming an air shower.
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This air shower consists of a cascade of interactions producing more particles that subsequently undergo further interactions.
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Thus, the number of particles rapidly increases further down the air shower.
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This happens until the energy is spread out\Todo{word} enough that the number of interactions decreases.
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This happens until the mean energy per particle is sufficiently lowered such that these particles are absorbed by the atmosphere.
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\\
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Figure~\ref{fig:airshower:depth} shows the number of particles as a function of atmospheric depth where $0\;\mathrm{g/cm^2}$ corresponds with the top of the atmosphere.
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The atmospheric depth at which this number of particles reaches its maximum is called $\Xmax$.
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\\
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In Figure~\ref{fig:airshower:depth} the \Xmax is different for a photon, a proton and iron.
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In Figure~\ref{fig:airshower:depth} the $\Xmax$ is different for a photon, a proton and iron.
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Typically, heavy nuclei have their first interaction higher up in the atmosphere than protons, with photons penetrating the atmosphere even further.
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Therefore, accurate measurements of $\Xmax$ allow to statistically discriminate between photons, protons and iron nuclei.
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For example, the difference in $\langle\Xmax\rangle$ for iron and protons is roughly $100\;\mathrm{g/cm^2}$~\cite{Deligny:2023yms}.
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Each component shows particular development and can be related to different observables of the air shower.
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\\
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For example, detecting a large hadronic component means the initial particle has access to hadronic interactions (such as pions, kaons, etc.)\Todo{ref?} which is a typical sign for protons and other nuclei.
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In contrast, for an initial photon which cannot interact hadronicly, its energy will be dumped into the electromagnetic part of the air shower.
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In contrast, for an initial photon, which cannot interact hadronicly, the energy will be dumped into the electromagnetic part of the air shower.
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\\
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Finally, any charged pions created in the air shower will decay into muons while still in the atmosphere, thus comprising the muonic component.
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The lifetime, and ease of penetration\Todo{wording} of relativistic muons allow them to propagate to the Earth's surface, even if other particles have decayed or have been absorbed in the atmosphere.
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The lifetime, and ease of penetration of relativistic muons allow them to propagate to the Earth's surface, even if other particles have decayed or have been absorbed in the atmosphere.
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\\
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\begin{figure}%<<< airshower:depth
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\centering
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\includegraphics[width=0.4\textwidth]{airshower/shower_development_depth_iron_proton_photon.pdf}
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\includegraphics[width=0.5\textwidth]{airshower/shower_development_depth_iron_proton_photon.pdf}
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\caption{
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From H. Schoorlemmer.
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Shower development as a function of atmospheric depth for an energy of $10^{19}\eV$.
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Processes in an air showers also generate radiation that can be picked up as coherent radio signals.
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%% Geo Synchro
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Due to the magnetic field of the Earth, the electrons in the air shower generate radiation.
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Termed geomagnetic emission in Figure~\ref{fig:airshower:polarisation}, this has a polarisation that is dependent on the magnetic field vector $\vec{B}$ and the air shower velocity $\vec{v}$.
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Termed geomagnetic emission in Figure~\ref{fig:airshower:polarisation}, this has a polarisation that is dependent on the magnetic field vector ($\vec{B}$) and the air shower velocity ($\vec{v}$).
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\\
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%% Askaryan / Charge excess
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An additional mechanism emitting radiation was first theorised by Askaryan\Todo{ref}.
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An additional mechanism emitting radiation was theorised by Askaryan\Todo{ref}.
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Due to the large inertia of the positively charged ions with respect to their light, negatively charged electrons, a negative charge excess is created.
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In turn, this generates radiation that is polarised radially towards the shower axis (see Figure~\ref{fig:airshower:polarisation}).
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\\
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%% Cherenkov ring
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The relativistic speeds of the particles cause any radiation that is produced in the air shower to be forward beamed along the shower axis.
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Additionally, the shower travels faster than the speed of light in the atmosphere.
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This generates an
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The detection of the radio signals is limited to an
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This is limited by the so-called Cherenkov angle.
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\Todo{finish paragraph}
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%% Cherenkov ring
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Due to the (varying) refractive index of the atmosphere, the produced radiation is concentrated on a ring-like structure called the Cherenkov-ring.
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A peculiar time-inversion of the radiation from the whole air shower signals happens at this ring.
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Outside this ring, radiation from the top of the air shower arrives earlier than radiation from the end of the air shower, whereas this is reversed inside thering.
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\\
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Consequently, all radiation from the whole air shower is concentrated in a small time-window at the Cherenkov-ring.
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It is therefore important for radio detection to obtain measurements in this region.
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\\
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\begin{figure}%<<< airshower:polarisation
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\centering
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\end{figure}%>>>>>>
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%>>>>>>
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%\subsection{Experiments}%<<<
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\phantomsection
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\label{sec:detectors}
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\bigskip
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At the very highest energy, the flux is in the order of one particle per square kilometer per century (see Figure~\ref{fig:cr_flux}).
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As mentioned, the flux at the very highest energy is in the order of one particle per square kilometer per century (see Figure~\ref{fig:cr_flux}).
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Observatories therefore have to span huge areas to gather decent statistics at these highest energies on a practical timescale.
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In recent and upcoming experiments, such as the~\gls{Auger} (and its upgrade \gls{AugerPrime}), \gls{GRAND} or \gls{LOFAR}, the approach is typically to instrument an area with a (sparse) grid of detectors to detect the generated air shower.\Todo{cite experiments here}
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With distances up to $1.5\;\mathrm{km}$ (\gls{Auger}), the detectors therefore have to operate in a self-sufficient manner with only wireless communication channels.
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In recent and upcoming experiments, such as the~\gls{Auger}\cite{Deligny:2023yms} and the~\gls{GRAND}\cite{GRAND:2018iaj}, the approach is typically to instrument a large area with a (sparse) grid of detectors to detect the generated air shower.
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With distances up to $1.5\;\mathrm{km}$ (\gls{Auger}), the detectors therefore have to operate in a self-sufficient manner with only wireless communication channels and timing provided by \gls{GNSS}.
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\\
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These standalone detectors typically receive their timing from a \gls{GNSS}.
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Previously, for timing of water-Cherenkov detectors, this timing accuracy was better than the resolved data.
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In the last two decades, with the advent of advanced electronics, the detection using radio antennas has received significant attention.
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A difficulty for radio detectors at these large distances.
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\Todo{write paragraph}
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For the detectors (and its upgrade \acrlong{AugerPrime}\cite{Huege:2023pfb}),
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Previously, for the timing of surface detectors such as water-Cherenkov detectors, this timing accuracy was better than the resolved data.
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Even for the first analyses of radio data, this was sufficient.\Todo{ref or rm}
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However, for advanced analyses such as radio interferometry, the timing accuracy must be improved.
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\\
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%%<<<
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%% Radio
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%In the last two decades, the detection using radio antennas has received significant attention \Todo{ref}, such that collaborations such as the~\gls{GRAND}\Todo{more?} are building observatoria that fully rely on radio measurements.
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%%
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%For such radio arrays, the analyses require an accurate timing of signals within the array.
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%Generally, \glspl{GNSS} are used to synchronise the detectors.
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%However, advanced analyses require an even higher accuracy than currently achieved with these systems.
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%\\
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%This thesis investigates a relatively straightforward method (and its limits) to obtain this required timing accuracy for radio arrays.
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%\\
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%\Todo{remove - repeated at end of chapter}
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% >>>
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% Structure summary
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In this thesis, a solution to enhance the timing accuracy of air shower radio detectors is demonstrated.
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